Senior Data Engineer – AI

Cotiviti

Senior Data Engineer responsible for data management and validation for healthcare clients. Managing complex SQL queries and mentoring new team members.

Posted 4/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $140,000 - $165,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudHadoopScalaSparkSQL

About the role

Key responsibilities & impact

Create, maintain and execute complex SQL queries for data management and data validation.
Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows.
Monitor data processes, analyze data trends and identify anomalies or issues.
Immediately report issues regarding quality of/or interruption of data processes following standard operating procedures.
Perform production solutions and services configurations as needed.
Serve as a change agent to identify organizational improvements and make recommendations to improve business processes.
Create and maintain SOP documents.
Train and mentor new members of the team as needed.
Participate in meetings with clients and/or stakeholders.
Troubleshoot issues and provide recommendations for remediation.
Demonstrate sound judgment in selecting methods and techniques for obtaining solutions.
Completes work as assigned.
Participate in customer testing, as needed, for new technology or changes to existing.
Provide after-hours or weekend support as needed.
Demonstrate an ability to work independently.
Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.
Complete task assignments using department ticketing/productivity systems within assigned deadline.
Achieve organizational and individual goals as identified in performance reviews and goal setting exercises.
Complete all special projects and other duties as assigned.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology or equivalent work experience.
8+ years of working knowledge of big data / cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.).
Experienced in implementing data pipelines with data engineering best practices in SQL, Spark and Scala, implementation in a Databricks environment a plus.
8+ years of data analysis.
Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.
Any Databricks / AWS certifications is a big plus.
Strong SQL and data modeling skills.
Experience with data pipeline orchestration tools (e.g., Airflow, Databricks Workflows).
Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.
Flexible work schedule.
Experience with project management tools like JIRA.

Benefits

Comp & perks

medical, dental, vision, disability, and life insurance coverage
401(k) savings plans
paid family leave
9 paid holidays per year
17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdata mappingdata transformationsdata validationdata ingestiondata analysisdata pipelinesSparkScaladata modeling

Soft Skills

change agentorganizational improvementsmentoringtroubleshootingsound judgmentindependent workcommunicationproblem-solvingteam collaborationflexibility

Certifications

Databricks certificationAWS certification